MATLAB Implementation of LLE Algorithm
LLE Algorithm MATLAB Source Code - A Manifold Learning Approach for Dimensionality Reduction
Swiss Roll Dataset Generation and LLE Dimensionality Reduction Implementation
This resource provides Python code for generating Swiss Roll datasets and implementing Locally Linear Embedding (LLE) algorithm for dimensionality reduction, offering practical value for students studying manifold learning techniques with complete code examples.
Video Frame Dimensionality Reduction Using LLE Algorithm with Keyframe Extraction via FCM Clustering
Dimensionality reduction of video frames using Locally Linear Embedding (LLE) algorithm followed by keyframe extraction for video summarization through Fuzzy C-Means (FCM) clustering
Locally Linear Embedding (LLE) Algorithm – A Classic Nonlinear Dimensionality Reduction Method
This program implements Locally Linear Embedding (LLE), one of the representative nonlinear dimensionality reduction algorithms, which is valuable for researchers focusing on high-dimensional data reduction studies. The implementation demonstrates the algorithm's core workflow through practical code examples and data processing steps.
MATLAB Implementation of Locally Linear Embedding (LLE) Algorithm
MATLAB code implementation of the Locally Linear Embedding algorithm with detailed technical explanations
Improved LLE Algorithm
Enhanced Locally Linear Embedding Algorithm